Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure.

IF 4.2 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiac Failure Review Pub Date : 2020-05-12 eCollection Date: 2020-03-01 DOI:10.15420/cfr.2019.14
Patrik Bachtiger, Carla M Plymen, Punam A Pabari, James P Howard, Zachary I Whinnett, Felicia Opoku, Stephen Janering, Aldo A Faisal, Darrel P Francis, Nicholas S Peters
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引用次数: 14

Abstract

A higher proportion of patients with heart failure have benefitted from a wide and expanding variety of sensor-enabled implantable devices than any other patient group. These patients can now also take advantage of the ever-increasing availability and affordability of consumer electronics. Wearable, on- and near-body sensor technologies, much like implantable devices, generate massive amounts of data. The connectivity of all these devices has created opportunities for pooling data from multiple sensors - so-called interconnectivity - and for artificial intelligence to provide new diagnostic, triage, risk-stratification and disease management insights for the delivery of better, more personalised and cost-effective healthcare. Artificial intelligence is also bringing important and previously inaccessible insights from our conventional cardiac investigations. The aim of this article is to review the convergence of artificial intelligence, sensor technologies and interconnectivity and the way in which this combination is set to change the care of patients with heart failure.

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人工智能、数据传感器和互联:心力衰竭的未来机遇。
与其他任何患者群体相比,更高比例的心力衰竭患者受益于广泛且不断扩大的各种传感器可植入设备。这些患者现在也可以利用不断增加的可用性和可负担性的消费电子产品。可穿戴的身体和近身传感器技术,就像植入式设备一样,会产生大量的数据。所有这些设备的连接为汇集来自多个传感器的数据(所谓的互联性)创造了机会,并为人工智能提供了新的诊断、分类、风险分层和疾病管理见解,以提供更好、更个性化和更具成本效益的医疗保健。人工智能也为我们的传统心脏研究带来了重要的、以前无法获得的见解。本文的目的是回顾人工智能、传感器技术和互联性的融合,以及这种结合如何改变心力衰竭患者的护理。
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CiteScore
5.60
自引率
0.00%
发文量
31
审稿时长
9 weeks
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